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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: MoritzLaurer/deberta-v3-base-zeroshot-v2.0
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: fine-tuned-MoritzLaurer-deberta-v3-base-zeroshot-v2.0-arceasy
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # fine-tuned-MoritzLaurer-deberta-v3-base-zeroshot-v2.0-arceasy
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+
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+ This model is a fine-tuned version of [MoritzLaurer/deberta-v3-base-zeroshot-v2.0](https://huggingface.co/MoritzLaurer/deberta-v3-base-zeroshot-v2.0) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8651
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+ - Accuracy: 0.7123
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1.5e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 71 | 0.8217 | 0.7053 |
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+ | No log | 2.0 | 142 | 0.9141 | 0.6895 |
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+ | No log | 3.0 | 213 | 0.8902 | 0.6930 |
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+ | No log | 4.0 | 284 | 0.8651 | 0.7123 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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